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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Weighted parallel contributions of binocular correlation and match signals to conscious perception of depth
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Weighted parallel contributions of binocular correlation and match signals to conscious perception of depth

机译:双目相关和匹配信号的加权平行贡献对深度的有意识感知

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摘要

Binocular disparity is detected in the primary visual cortex by a process similar to calculation of local cross-correlation between left and right retinal images. As a consequence, correlation-based neural signals convey information about false disparities as well as the true disparity. The false responses in the initial disparity detectors are eliminated at later stages in order to encode only disparities of the features correctly matched between the two eyes. For a simple stimulus configuration, a feed-forward nonlinear process can transform the correlation signal into the match signal. For human observers, depth judgement is determined by a weighted sum of the correlation and match signals rather than depending solely on the latter. The relative weight changes with spatial and temporal parameters of the stimuli, allowing adaptive recruitment of the two computations under different visual circumstances. A full transformation from correlation-based to match-based representation occurs at the neuronal population level in cortical area V4 and manifests in single-neuron responses of inferior temporal and posterior parietal cortices. Neurons in area V5/MT represent disparity in a manner intermediate between the correlation and match signals. We propose that the correlation and match signals in these areas contribute to depth perception in a weighted, parallel manner.
机译:通过类似于计算左右视网膜图像之间的局部互相关的过程,在主视觉皮层中检测到双眼视差。结果,基于相关性的神经信号传达有关虚假差异和真实差异的信息。初始视差检测器中的错误响应将在以后的阶段中消除,以便仅对两只眼睛之间正确匹配的特征的视差进行编码。对于简单的激励配置,前馈非线性过程可以将相关信号转换为匹配信号。对于人类观察者来说,深度判断是由相关和匹配信号的加权和确定的,而不是仅依赖于后者。相对权重随刺激的时空参数而变化,从而允许在不同的视觉环境下自适应地募集这两种计算。从基于相关的表示到基于匹配的表示的完全转换发生在皮质区域V4的神经元种群水平上,并表现在颞下和顶顶皮质的单神经元反应中。 V5 / MT区域中的神经元以相关和匹配信号之间的中间方式表示差异。我们建议这些区域中的相关和匹配信号以加权,并行的方式有助于深度感知。

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